About this role
Mem0 is hiring a full-time Full Stack Engineer to build the memory infrastructure for AI agents in the San Francisco Bay Area. This onsite position is ideal for an experienced developer who wants to shape the future of AI agent platforms.
Role Overview
The Full Stack Engineer will construct the product surface of the Mem0 Platform. This individual will own features from end to end using Next.js and Python, ensuring rapid delivery without sacrificing performance or code quality. Reporting directly to the CTO, this visible role collaborates closely with design, research, leadership, and customers to turn complex problems into scalable product experiences.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Mem0 builds the long-term memory layer for AI agents, enabling artificial intelligence to remember conversations, learn from interactions, and build context over time. The company powers millions of AI interactions for enterprise customers and an open-source community of over 160,000 developers. Mem0 is backed by Y Combinator and top-tier investors, having raised $24M in Seed and Series A funding. The engineering culture emphasizes office-first collaboration, extreme ownership, velocity with craftsmanship, high trust, and data-driven decisions.
How to Apply
Visit the official Mem0 careers page on their website to submit an application for this position.
Skills and tech stack
Questions candidates ask
Is this position remote or onsite?
This is a full-time, office-first role based in the San Francisco Bay Area, California.
What is the salary range for the Full Stack Engineer role?
The salary ranges from $150,000 to $250,000 USD per year.
How many years of experience are required?
Candidates must have 5+ years of experience building and shipping production-grade full-stack applications at scale.
Who does this position report to?
This position reports directly to the CTO.
What core technologies will I work with?
You will work with Python, Next.js, React, REST APIs, PostgreSQL, Redis, and various AI and cloud technologies depending on project needs.
